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<link title="Index of types" rel=Appendix href="index_types.html">
<link title="Index of exceptions" rel=Appendix href="index_exceptions.html">
<link title="Index of values" rel=Appendix href="index_values.html">
<link title="Index of class attributes" rel=Appendix href="index_attributes.html">
<link title="Index of class methods" rel=Appendix href="index_methods.html">
<link title="Index of classes" rel=Appendix href="index_classes.html">
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<link title="NeuralNetwork" rel="Chapter" href="NeuralNetwork.html">
<link title="NeuralNetworkIo" rel="Chapter" href="NeuralNetworkIo.html">
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<link title="MlPerceptron" rel="Chapter" href="MlPerceptron.html">
<link title="SigmoidMlPerceptron" rel="Chapter" href="SigmoidMlPerceptron.html"><title>Index of class methods</title>
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<center><h1>Index of class methods</h1></center>
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<tr><td align="left"><br>C</td></tr>
<tr><td><a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html#METHODcopy">copy</a> [<a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html">SigmoidMlPerceptron.sigmoidMlPerceptron</a>]</td>
<td><div class="info">
returns a fresh copy of the network (no data shared)
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</td></tr>
<tr><td><a href="MlPerceptron.mlPerceptron.html#METHODcopy">copy</a> [<a href="MlPerceptron.mlPerceptron.html">MlPerceptron.mlPerceptron</a>]</td>
<td><div class="info">
returns a fresh copy of the network (no data shared)
</div>
</td></tr>
<tr><td><a href="Adaline.adaline.html#METHODcopy">copy</a> [<a href="Adaline.adaline.html">Adaline.adaline</a>]</td>
<td><div class="info">
Returns a fresh copy of the network (no data shared)
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<tr><td align="left"><br>F</td></tr>
<tr><td><a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html#METHODfeed">feed</a> [<a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html">SigmoidMlPerceptron.sigmoidMlPerceptron</a>]</td>
<td><div class="info">
<code class="code">feed input </code>
	processes the input values, returns the output
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<tr><td><a href="MlPerceptron.mlPerceptron.html#METHODfeed">feed</a> [<a href="MlPerceptron.mlPerceptron.html">MlPerceptron.mlPerceptron</a>]</td>
<td><div class="info">
processes the input values, returns the output
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<tr><td><a href="Adaline.adaline.html#METHODfeed">feed</a> [<a href="Adaline.adaline.html">Adaline.adaline</a>]</td>
<td><div class="info">
<code class="code">feed input</code> returns the network output
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</td></tr>
<tr><td><a href="NeuralNetwork.neuralNetwork.html#METHODfeed">feed</a> [<a href="NeuralNetwork.neuralNetwork.html">NeuralNetwork.neuralNetwork</a>]</td>
<td><div class="info">
<code class="code">feed input</code>
</div>
</td></tr>
<tr><td><a href="MlPerceptron.mlPerceptron.html#METHODfeedLayersSumsResults">feedLayersSumsResults</a> [<a href="MlPerceptron.mlPerceptron.html">MlPerceptron.mlPerceptron</a>]</td>
<td></td></tr>
<tr><td align="left"><br>G</td></tr>
<tr><td><a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html#METHODgetLayersNb">getLayersNb</a> [<a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html">SigmoidMlPerceptron.sigmoidMlPerceptron</a>]</td>
<td></td></tr>
<tr><td><a href="MlPerceptron.mlPerceptron.html#METHODgetLayersNb">getLayersNb</a> [<a href="MlPerceptron.mlPerceptron.html">MlPerceptron.mlPerceptron</a>]</td>
<td></td></tr>
<tr><td><a href="Adaline.adaline.html#METHODgetLayersNb">getLayersNb</a> [<a href="Adaline.adaline.html">Adaline.adaline</a>]</td>
<td><div class="info">
number of neuron layers in the network (here always 1)
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</td></tr>
<tr><td align="left"><br>I</td></tr>
<tr><td><a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html#METHODinput_size">input_size</a> [<a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html">SigmoidMlPerceptron.sigmoidMlPerceptron</a>]</td>
<td></td></tr>
<tr><td><a href="MlPerceptron.mlPerceptron.html#METHODinput_size">input_size</a> [<a href="MlPerceptron.mlPerceptron.html">MlPerceptron.mlPerceptron</a>]</td>
<td></td></tr>
<tr><td><a href="Adaline.adaline.html#METHODinput_size">input_size</a> [<a href="Adaline.adaline.html">Adaline.adaline</a>]</td>
<td></td></tr>
<tr><td><a href="NeuralNetwork.neuralNetwork.html#METHODinput_size">input_size</a> [<a href="NeuralNetwork.neuralNetwork.html">NeuralNetwork.neuralNetwork</a>]</td>
<td></td></tr>
<tr><td align="left"><br>L</td></tr>
<tr><td><a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html#METHODlearn">learn</a> [<a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html">SigmoidMlPerceptron.sigmoidMlPerceptron</a>]</td>
<td><div class="info">
<code class="code">learn rate input desired_output</code>
	reduces the quadratic error, using the gradient backpropagation algorithm (rate should be between 0 and 1)
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<tr><td><a href="MlPerceptron.mlPerceptron.html#METHODlearn">learn</a> [<a href="MlPerceptron.mlPerceptron.html">MlPerceptron.mlPerceptron</a>]</td>
<td><div class="info">
<code class="code">learn rate input desired_output</code>
	reduces the quadratic error, using the gradient backpropagation algorithm
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</td></tr>
<tr><td><a href="Adaline.adaline.html#METHODlearn">learn</a> [<a href="Adaline.adaline.html">Adaline.adaline</a>]</td>
<td><div class="info">
<code class="code">learn rate input desired_output</code>
	reduces the quadratic error
</div>
</td></tr>
<tr><td align="left"><br>O</td></tr>
<tr><td><a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html#METHODoutput_size">output_size</a> [<a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html">SigmoidMlPerceptron.sigmoidMlPerceptron</a>]</td>
<td></td></tr>
<tr><td><a href="MlPerceptron.mlPerceptron.html#METHODoutput_size">output_size</a> [<a href="MlPerceptron.mlPerceptron.html">MlPerceptron.mlPerceptron</a>]</td>
<td></td></tr>
<tr><td><a href="Adaline.adaline.html#METHODoutput_size">output_size</a> [<a href="Adaline.adaline.html">Adaline.adaline</a>]</td>
<td></td></tr>
<tr><td><a href="NeuralNetwork.neuralNetwork.html#METHODoutput_size">output_size</a> [<a href="NeuralNetwork.neuralNetwork.html">NeuralNetwork.neuralNetwork</a>]</td>
<td></td></tr>
<tr><td align="left"><br>P</td></tr>
<tr><td><a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html#METHODprint">print</a> [<a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html">SigmoidMlPerceptron.sigmoidMlPerceptron</a>]</td>
<td></td></tr>
<tr><td><a href="MlPerceptron.mlPerceptron.html#METHODprint">print</a> [<a href="MlPerceptron.mlPerceptron.html">MlPerceptron.mlPerceptron</a>]</td>
<td></td></tr>
<tr><td><a href="Adaline.adaline.html#METHODprint">print</a> [<a href="Adaline.adaline.html">Adaline.adaline</a>]</td>
<td></td></tr>
<tr><td><a href="NeuralNetwork.neuralNetwork.html#METHODprint">print</a> [<a href="NeuralNetwork.neuralNetwork.html">NeuralNetwork.neuralNetwork</a>]</td>
<td></td></tr>
<tr><td align="left"><br>T</td></tr>
<tr><td><a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html#METHODtoString">toString</a> [<a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html">SigmoidMlPerceptron.sigmoidMlPerceptron</a>]</td>
<td></td></tr>
<tr><td><a href="MlPerceptron.mlPerceptron.html#METHODtoString">toString</a> [<a href="MlPerceptron.mlPerceptron.html">MlPerceptron.mlPerceptron</a>]</td>
<td></td></tr>
<tr><td><a href="Adaline.adaline.html#METHODtoString">toString</a> [<a href="Adaline.adaline.html">Adaline.adaline</a>]</td>
<td></td></tr>
<tr><td><a href="NeuralNetwork.neuralNetwork.html#METHODtoString">toString</a> [<a href="NeuralNetwork.neuralNetwork.html">NeuralNetwork.neuralNetwork</a>]</td>
<td></td></tr>
<tr><td align="left"><br>W</td></tr>
<tr><td><a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html#METHODwriteFile">writeFile</a> [<a href="SigmoidMlPerceptron.sigmoidMlPerceptron.html">SigmoidMlPerceptron.sigmoidMlPerceptron</a>]</td>
<td><div class="info">
<code class="code">writeFile ~comment=c file</code> writes the network in file, with the optional comment c on the first line
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</td></tr>
<tr><td><a href="MlPerceptron.mlPerceptron.html#METHODwriteFile">writeFile</a> [<a href="MlPerceptron.mlPerceptron.html">MlPerceptron.mlPerceptron</a>]</td>
<td><div class="info">
<code class="code">writeFile ~comment=c file</code> writes the network in file, with the optional comment c on the first line
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</td></tr>
<tr><td><a href="Adaline.adaline.html#METHODwriteFile">writeFile</a> [<a href="Adaline.adaline.html">Adaline.adaline</a>]</td>
<td></td></tr>
<tr><td><a href="NeuralNetwork.neuralNetwork.html#METHODwriteFile">writeFile</a> [<a href="NeuralNetwork.neuralNetwork.html">NeuralNetwork.neuralNetwork</a>]</td>
<td></td></tr>
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